您可以从清单物体中提取总表,然后将其胁迫为数据范围
dat.v01 <- c(670,202,74,640)
rval.tes01 <- epi.tests(dat.v01)
as.data.frame(rval.tes01[1])
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detail.statistic detail.est detail.lower detail.upper
1 ap 0.54981084 0.52493735 0.5744996
2 tp 0.46910467 0.44430554 0.4940184
3 se 0.90053763 0.87674618 0.9210923
4 sp 0.76009501 0.72977646 0.7885803
5 diag.ac 0.82597730 0.80640489 0.8443346
6 diag.or 28.68611185 21.51819166 38.2417364
7 nndx 1.51370055 1.40910043 1.6487431
8 youden 0.66063265 0.60652264 0.7096726
9 pv.pos 0.76834862 0.73889263 0.7959784
10 pv.neg 0.89635854 0.87163929 0.9177402
11 lr.pos 3.75372618 3.32068844 4.2432346
12 lr.neg 0.13085517 0.10506432 0.1629771
13 p.rout 0.45018916 0.42550037 0.4750627
14 p.rin 0.54981084 0.52493735 0.5744996
15 p.tpdn 0.23990499 0.21141968 0.2702235
16 p.tndp 0.09946237 0.07890770 0.1232538
17 p.dntp 0.23165138 0.20402157 0.2611074
18 p.dptn 0.10364146 0.08225983 0.1283607
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